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NetraMark Holdings (XCNQ:AIAI) ROCE % : -469.59% (As of Dec. 2023)


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What is NetraMark Holdings ROCE %?

ROCE % measures how well a company generates profits from its capital. It is calculated as EBIT divided by Capital Employed, where Capital Employed is calculated as Total Assets minus Total Current Liabilities. NetraMark Holdings's annualized ROCE % for the quarter that ended in Dec. 2023 was -469.59%.


NetraMark Holdings ROCE % Historical Data

The historical data trend for NetraMark Holdings's ROCE % can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

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NetraMark Holdings ROCE % Chart

NetraMark Holdings Annual Data
Trend Sep20 Sep21 Sep22 Sep23
ROCE %
-12.97 -103.29 -98.81 -129.80

NetraMark Holdings Quarterly Data
Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Sep23 Dec23
ROCE % Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -54.51 -103.03 -70.62 - -469.59

NetraMark Holdings ROCE % Calculation

NetraMark Holdings's annualized ROCE % for the fiscal year that ended in Sep. 2023 is calculated as:

ROCE %=EBIT/( (Capital Employed+Capital Employed)/ count )
(A: Sep. 2023 )  (A: Sep. 2022 )(A: Sep. 2023 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(A: Sep. 2023 )  (A: Sep. 2022 )(A: Sep. 2023 )
=-5.969/( ( (9.198 - 1.087) + (1.91 - 0.824) )/ 2 )
=-5.969/( (8.111+1.086)/ 2 )
=-5.969/4.5985
=-129.80 %

NetraMark Holdings's ROCE % of for the quarter that ended in Dec. 2023 is calculated as:

ROCE %=EBIT (1)/( (Capital Employed+Capital Employed)/ count )
(Q: Dec. 2023 )  (Q: Sep. 2023 )(Q: Dec. 2023 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(Q: Dec. 2023 )  (Q: Sep. 2023 )(Q: Dec. 2023 )
=-3.968/( ( (1.91 - 0.824) + (0.91 - 0.306) )/ 2 )
=-3.968/( ( 1.086 + 0.604 )/ 2 )
=-3.968/0.845
=-469.59 %

(1) Note: The EBIT data used here is four times the quarterly (Dec. 2023) EBIT data.

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


NetraMark Holdings  (XCNQ:AIAI) ROCE % Explanation

ROCE % can be especially useful when comparing the performance of capital-intensive companies. Unlike ROE %, which indicates the profitability of Shareholders Equity, ROCE % also considers long-term debt in Capital Employed. This can be helpful when analyzing companies with significant debt, as the result is neutralized by taking debt into consideration.

Generally speaking, a higher ROCE % indicates a stonger profitability for a company. Moreover, it is important to look at the ratio from a long term perspective. Investors tend to favor companies with stable and rising ROCE % trend over those with volatile ones.


NetraMark Holdings ROCE % Related Terms

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NetraMark Holdings (XCNQ:AIAI) Business Description

Traded in Other Exchanges
Address
1655 Dupont Street, Suite 101, Toronto, ON, CAN, M6P 3T1
NetraMark Holdings Inc is focused on the application of a totally unique Artificial Intelligence (AI) / Machine Learning (ML) solution targeted at the pharmaceutical industry in order to de-risk clinical trials. NetraMark has a proprietary technology that is capable of cutting through the combinatorial complexity that comes with dealing with heterogeneous patient populations to extract precisely defined personas of patients with respect to placebo and drug response, in addition to tolerability and adverse events. By using the client's own contemporaneous data, and having the capacity to learn from small data, the NetraAI tech extracts these personas to equip pharmaceutical companies with strategies to optimize their next trials for success.
Executives
Andrew Parks Director

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